arXiv: optimising hadronic collider simulations using amplitude neural networks
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physics
acat
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acat2021
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amplitudes
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arxiv
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colliders
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computational physics
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durham
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hadron colliders
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high energy physics
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quantum electrodynamics
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Preprint on arXiv for ACAT 2021 proceedings contribution
Phys. Let. B: NLO gluon fusion to diphoton plus jet cross sections
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physics
3g2a
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amplitudes
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article
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colliders
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computational physics
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cross sections
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high energy physics
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phys let b
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physics letters b
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plb
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quantum chromodynamics
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standard model
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theoretical physics
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two-loop
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two-to-three
New publication in Physics Letters B: Next-to-leading order QCD corrections to diphoton-plus-jet production through gluon fusion at the LHC
ACAT 2021 talk: optimising simulations for diphoton production at hadron colliders using amplitude neural networks
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physics
acat
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acat2021
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amplitudes
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colliders
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computational physics
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conference
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cross sections
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differential cross sections
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durham
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hadron colliders
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high energy physics
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machine learning
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neural networks
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open source
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particle physics
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particle physics phenomenology
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phd
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precision qcd
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presentation
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qcd
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quantum chromodynamics
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quantum electrodynamics
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quantum field theory
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scattering amplitudes
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standard model
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talk
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theoretical physics
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virtual
Talk at 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research
arXiv: NLO gluon fusion to diphoton plus jet cross sections
1 min read
physics
3g2a
·
amplitudes
·
arxiv
·
colliders
·
computational physics
·
cross sections
·
differential cross sections
·
durham
·
five-point
·
hadron colliders
·
high energy physics
·
inspirehep
·
lhc
·
nlo
·
particle physics
·
particle physics phenomenology
·
phd
·
precision qcd
·
preprint
·
quantum chromodynamics
·
quantum field theory
·
scattering amplitudes
·
standard model
·
theoretical physics
·
two-loop
·
two-to-three
New preprint on arXiv: Next-to-leading order QCD corrections to diphoton-plus-jet production through gluon fusion at the LHC
JHEP: gluon fusion to diphoton plus jets with amplitude neural networks
1 min read
physics
amplitudes
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colliders
·
computational physics
·
cross sections
·
differential cross sections
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durham
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hadron colliders
·
high energy physics
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jhep
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machine learning
·
neural networks
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open access
·
open source
·
paper
·
particle physics
·
particle physics phenomenology
·
phd
·
precision qcd
·
publication
·
qcd
·
quantum chromodynamics
·
quantum electrodynamics
·
quantum field theory
·
scattering amplitudes
·
standard model
·
theoretical physics
New paper in Journal of High Energy Physics: Optimising simulations for diphoton production at hadron colliders using amplitude neural networks